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Abstract #1367

Radial Navigator (radNAV) for Rapid GRE (Turbo-FLASH) Sequence

Zhe Wu1, Lars Kasper1, and Kamil Uludag1,2,3
1Techna Institute, University Health Network, Toronto, ON, Canada, 2Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, 3Center for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

A radial navigator (radNAV) approach, which is easily implemented with minimal increase in TE/TR and without the need for non-Cartesian gradients or coil sensitivity extrapolation, is proposed. We demonstrate the feasibility of this approach to acquire motion information for image correction in turbo-FLASH sequences.

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